Principal AI Engineer - Frontier Data

Tech Stack

Responsibilities

• Design and ship full-stack AI applications, owning the pipeline from data ingestion to LLM inference to the frontend interface.
• Architect autonomous agentic workflows using frameworks like LangChain, LangGraph, or custom implementations.
• Write robust, clean, and highly testable production-grade code (Python/Typescript) that works in customer's restricted cloud environments.
• Handle DevOps and MLOps constraints including Dockerizing agents, managing Kubernetes clusters, and optimizing inference latency.
• Serve as the technical face of the company for demanding accounts, navigating complex stakeholder environments and translating technical constraints into business value.

Benefits

• Equity
• Learning Budget

Culture

Requirements